Abstract
Credible measurement, reporting and verification (MRV) for carbon stock are among the most critical elements for the successful implementation of any forestry carbon trading. However, it is very hard to get quantitative evidence validating carbon stock difference among project area (PA), leakage management area and leakage belt (LB) at this moment. Accordingly, this study is intended to contrast OCO-2 XCO2 signature between REDD+ project area and nearby LB. The XCO2 in individual land cover have kept decreasing after the implementation of REDD+ project. The natural forest and woodland which is dominant land use and land cover type shows positive evidences achieved by the REDD project by presenting the lowest XCO2 signature (natural forest: 394.1 ppm, woodland: 393.2 ppm) and highest NDVI (natural forest: 0.498, woodland: 0.488) in PA. It is anticipated that this research outcome could be used as a valuable reference toward MRV based-on OCO-2 XCO2 in relation to performance evaluation of forest carbon trading.
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Notes
Landsat 7 image is an image gap-filled through the Focal Analysis function of Erdas Imagine 9.2.
Deforestation via different forms of payoffs has strong relations , i.e., (1) allocating ‘underdeveloped’ land such as forest to landless individuals to settle and farm; (2) allowing (legal or illegal) deforestation activities of large-scale agriculture firms; and (3) increasing agricultural credit for farmers so that they can expand their agriculture land into forest areas.
https://cdm.unfccc.int/Projects/projsearch.html (accessed on 30 July 2017).
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Acknowledgements
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF2015R1D1A1A01056801). We thank National Aeronautics and Space Administration, United States (NASA) for providing OCO-2 satellite data.
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Hwang, Y., Um, JS. Comparative evaluation of OCO-2 XCO2 signature between REDD+ project area and nearby leakage belt. Spat. Inf. Res. 25, 693–700 (2017). https://doi.org/10.1007/s41324-017-0136-0
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DOI: https://doi.org/10.1007/s41324-017-0136-0